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Research on Charging Combination Based on Batch Weight Fit Rule for Energy Saving in Forging

机译:基于批量加权拟合规则的充电组合节能研究

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As a traditional high energy-consuming industry, the forging industry consumes a lot of energy. The activity consuming the highest energy during forging process is the heating. The problem regarding how to separate workpieces with the same holding temperature and holding time and combine them for charging in forging was analyzed and a model based on batch weight fit rule for optimizing the charging combination with the goal of energy saving was proposed. A genetic algorithm was adopted to optimize and solve the model in order to reduce energy consumption in forging. In addition, an instance was given to prove the effectiveness of the proposed model.
机译:作为传统的高能耗行业,锻造行业消耗大量能源。锻造过程中消耗最高能量的活动是加热。分析了如何在保持温度和保持时间相同的情况下分离工件并将其组合以进行锻造充电的问题,并提出了一种基于批量配重规则的模型,以节能为目标优化装料组合。采用遗传算法对模型进行优化和求解,以减少锻造能耗。另外,通过实例证明了该模型的有效性。

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